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Description

Enhance your customer data within a user-friendly environment by easily exporting it into Microsoft Excel and utilizing our plugin, which can be found in the Office Store for improved data quality. With our tool, you can transform data by abbreviating, elaborating, excluding, or normalizing it across five spoken languages and twelve distinct entity categories. You can assess the similarity between records through various comparison techniques, such as Levenshtein and Jaro-Winkler, and generate phonetic match keys for deduplication purposes, including DQ Fonetix™, Soundex, and Metaphone. Additionally, classify your data to determine what each piece represents—for instance, recognizing Brian or Sven as personal names, while identifying Road, Strasse, or Rue as elements of an address, and Ltd or LLC as legal suffixes for companies. You can also derive information such as gender from names and categorize contact information based on job titles and decision-making roles. DQ for Excel™ operates seamlessly within Microsoft Excel, making it both intuitive and straightforward to use, thus streamlining your data management processes effectively. Moreover, with its powerful features, you can ensure that your customer data remains accurate, relevant, and organized.

Description

It shouldn't take long to analyze data from your business solutions. Zuar Runner allows you to automate your ELT/ETL processes, and have data flow from hundreds of sources into one destination. Zuar Runner can manage everything: transport, warehouse, transformation, model, reporting, and monitoring. Our experts will make sure your deployment goes smoothly and quickly.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft Excel Yes 
Amazon Ads No 
Amazon Redshift No 
Box No 
Dropbox No 
Fullstory No 
GitHub No 
Hadoop No 
LeafLogix No 
MJ Platform No 
MongoDB No 
NetSuite OpenAir No 
Salesforce No 
Seafile No 
ServiceNow No 
ShareFile No 
Shopify No 
Stackreaction No 
Tableau No 
Yandex No 

Integrations

Microsoft Excel Yes 
Amazon Ads Yes 
Amazon Redshift Yes 
Box Yes 
Dropbox Yes 
Fullstory Yes 
GitHub Yes 
Hadoop Yes 
LeafLogix Yes 
MJ Platform Yes 
MongoDB Yes 
NetSuite OpenAir Yes 
Salesforce Yes 
Seafile Yes 
ServiceNow Yes 
ShareFile Yes 
Shopify Yes 
Stackreaction Yes 
Tableau Yes 
Yandex Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Contact Zuar for Pricing
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DQ Global

Founded

1997

Country

United States

Website

www.dqglobal.com/products/dq-for-excel/

Vendor Details

Company Name

Zuar, Inc.

Founded

2015

Country

Unites States

Website

www.zuar.com/products/runner/

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Product Features

Data Cleansing

Address/ZIP Code Cleaning Yes 
Charting Yes 
Data Consolidation / ETL Yes 
Data Mapping Yes 
Multi Data Format Support Yes 
Phone/Email Validation No 
Raw Data Ingestion Yes 
Sample Testing No 
Validation / Matching / Reconciliation Yes 

Data Extraction

Disparate Data Collection Yes 
Document Extraction No 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction No 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

Data Quality

Address Validation No 
Data Deduplication Yes 
Data Discovery Yes 
Data Profililng Yes 
Master Data Management Yes 
Match & Merge Yes 
Metadata Management Yes 

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations Yes 
Version Control Yes 

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